Clara Barbot
Impact in
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- Genetic Neurodegenerative Diseases
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
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- Mitochondrial Function and Pathology 10
- DNA Repair Mechanisms 4
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- Genetic Neurodegenerative Diseases 10
- Co-authors
- Jorge Sequeiros (13 shared papers)Paula Coutinho (9 shared papers)José Barros (7 shared papers)Pedro Mendonça (4 shared papers)Nobutada Tachi (3 shared papers)Michel Kœnig (3 shared papers)Naoki Kozuka (2 shared papers)Isabel Alonso (4 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (3 papers)The American Journal of Human Genetics (3 papers)Pediatric Neurology (2 papers)European Journal of Paediatric Neurology (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- PortugalUnited StatesFrance
In The Last Decade
Clara Barbot
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 523
- Clinical Biochemistry 187
- Neurology 110
- Molecular Biology 849
- Neurology 136
Countries citing papers authored by Clara Barbot
This map shows the geographic impact of Clara Barbot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Clara Barbot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Barbot more than expected).
Fields of papers citing papers by Clara Barbot
This network shows the impact of papers produced by Clara Barbot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Clara Barbot. The network helps show where Clara Barbot may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Barbot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 359 | |
| 2 | 2013 | 101 | |
| 3 | 2015 | 99 | |
| 4 | 2001 | 80 | |
| 5 | 2005 | 76 | |
| 6 | 2008 | 74 | |
| 7 | 1997 | 66 | |
| 8 | 2000 | 65 | |
| 9 | 2001 | 62 | |
| 10 | 2003 | 61 | |
| 11 | 2008 | 44 | |
| 12 | 2004 | 32 | |
| 13 | 2007 | 29 | |
| 14 | 2011 | 26 | |
| 15 | 2013 | 23 | |
| 16 | 1995 | 21 | |
| 17 | 2001 | 16 | |
| 18 | 2007 | 12 | |
| 19 | 2001 | 12 | |
| 20 | 1997 | 10 |
About Clara Barbot
Clara Barbot is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Genetics and Neurology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Mitochondrial Function and Pathology (10 papers), Metabolism and Genetic Disorders (9 papers), Genetics and Neurodevelopmental Disorders (4 papers), DNA Repair Mechanisms (4 papers), Neonatal Health and Biochemistry (3 papers), Neurological diseases and metabolism (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (523 citations), Clinical Biochemistry (187 citations), Neurology (110 citations), Molecular Biology (849 citations) and Neurology (136 citations). Clara Barbot has collaborated with scholars based in Portugal, United States and France. Frequent co-authors include Jorge Sequeiros, Paula Coutinho, José Barros, Pedro Mendonça, Nobutada Tachi, Michel Kœnig, Naoki Kozuka, Isabel Alonso, Eiji Uchida and Toby J. Gibson. Their work appears in journals such as Journal of Inherited Metabolic Disease, The American Journal of Human Genetics, Pediatric Neurology, European Journal of Paediatric Neurology and Journal of Clinical Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.